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# Meteorological Scientist - Data Assimilation and NWP

- **Company:** WindBorne Systems Inc.
- **Location:** Palo Alto, CA, United States
- **Salary:** $110,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Fortran (Programming Language), Python (Programming Language), Machine Learning, Large Language Models, Data Assimilation, Jedi (game Engine)
- **Published:** August 3, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c06abb0c1846a46a

## About the Role

* Strong background in atmospheric sciences and weather analysis
 * Experience with data assimilation and numerical weather prediction, including familiarity with how observations improve forecast skill
 * Demonstrated ability to work with observational data including weather radar, weather satellite, surface and upper air observations
 * Experience using LLMs to implement code
 * Strong understanding of statistical methods, especially those used to validate observation quality and verify weather forecasts
 * Willingness to work across unfamiliar domains and learn new skills quickly
 * Master's or Ph.D. in Atmospheric Sciences, Meteorology, or related field preferred
 * Scrappiness

Additional Beneficial Skills

 * Experience developing data assimilation and NWP systems including GSI, JEDI, GFS/FV3 and MPAS.
 * Scientific programming experience using Python, Fortran and/or C/C++
 * Experience with instrumentation used for collecting weather observations including instrument design, calibration and quality control

## Description

* Evaluate and optimize the impact of WindBorne's balloon observations across traditional and AI-based data assimilation
 * Work closely with the Machine Learning team to help advance AI-based data assimilation techniques that drive WindBorne's WeatherMesh AI forecast system
 * Design visualizations and analyses that demonstrate the impact of WindBorne's in-situ observations on forecast quality for both scientific and business audiences
 * Refine and develop quality control algorithms for WindBorne's in-situ observations
 * Communicate technical findings to scientific, government, and business stakeholders


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